Topology inference driven by non-collaborative or incomplete prior knowledge is widely
used in pivotal target network sieving and completion. However, perceivable topology also …

There has been significant recent interest in a class of three-player leader-follower game
models in many important cybersecurity scenarios. In such a tri-level hierarchical structure, a …

In the realm of aerial warfare, the protection of Unmanned Aerial Vehicles (UAVs) against
adversarial threats is crucial. In order to balance the impact of response delays and the …

针对群智协作频谱感知中恶意感知终端的投毒与搭便车攻击, 结合事前威慑与事后惩罚机制提出
了一种基于审计博弈的新型防御方案. 首先, 考虑审计预算约束, 构建了一种不完全信息下的混合 …

Honeypots, as a strategic cyber-deception mechanism designed to emulate authentic
interactions and bait unauthorized entities, continue to struggle with balancing flexibility …

Provenance graph-based auditing offers a promising direction for APT (Advanced Persistent
Threat) detection with traceability guarantees. However, most of the existing methods are …

Federated learning (FL) technologies enable trainers to collaboratively train machine
learning (ML) models while maintaining data privacy, making them a crucial component of …

The emergence of the Metaverse has brought forth a new era of social networks, offering
immersive virtual spaces for users to engage in social activities. However, the resource …

Semantic communication aims to facilitate purposeful information exchange among diverse
intelligent entities, including humans, machines, and organisms. It emphasizes precise …

Topology inference driven by non-collaborative or incomplete prior knowledge is widely
used in pivotal target network sieving and completion. However, perceivable topology also …